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20132022
most citedFoveation-based Mechanisms Alleviate Adversarial Examples

137 citations · 179 across the 21 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching

Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua +3

In this work, we present a novel method to learn a local cross-domain descriptor for 2D image and 3D point cloud matching. Our proposed method is a dual auto-encoder neural network…

cs.CV2019

Predictive Coding Networks Meet Action Recognition

Xia Huang, Hossein Mousavi, Gemma Roig

Action recognition is a key problem in computer vision that labels videos with a set of predefined actions. Capturing both, semantic content and motion, along the video frames is k…

cs.SD2019

Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks

Kin Wai Cheuk, Balamurali B. T., Gemma Roig +1

We present an approach to tackle the speaker recognition problem using Triplet Neural Networks. Currently, the -vector representation with probabilistic linear discriminant anal…

cs.CV2019★ 2 cited

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies

Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig

The goal of this study is to develop and analyze multimodal models for predicting experienced affective responses of viewers watching movie clips. We develop hybrid multimodal pred…

cs.CV2019★ 1 cited

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…

cs.CV2019

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

Kshitij Dwivedi, Gemma Roig

Transfer learning is widely used in deep neural network models when there are few labeled examples available. The common approach is to take a pre-trained network in a similar task…